Instructions to use SEBIS/code_trans_t5_base_code_documentation_generation_java_multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_base_code_documentation_generation_java_multitask with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="SEBIS/code_trans_t5_base_code_documentation_generation_java_multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_java_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_java_multitask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4de60530cd38bd2b02d318b4815fe1342c75450d6577cb984c0c6b9fc603681f
- Size of remote file:
- 892 MB
- SHA256:
- 4acf0653938191fbcaffe97d540c0ebd946f9bc6a6552f937c985510052fb88f
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